{"id":"https://openalex.org/W4406271206","doi":"https://doi.org/10.1109/bibm62325.2024.10822133","title":"Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition","display_name":"Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271206","doi":"https://doi.org/10.1109/bibm62325.2024.10822133"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083790083","display_name":"Parshuram N. Aarotale","orcid":"https://orcid.org/0000-0002-2361-3139"},"institutions":[{"id":"https://openalex.org/I39587148","display_name":"Wichita State University","ror":"https://ror.org/00c4e7y75","country_code":"US","type":"education","lineage":["https://openalex.org/I39587148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parshuram N. Aarotale","raw_affiliation_strings":["Wichita State University,Dept. of Biomedical Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wichita State University,Dept. of Biomedical Engineering,USA","institution_ids":["https://openalex.org/I39587148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081904333","display_name":"Ajita Rattani","orcid":"https://orcid.org/0000-0002-1541-8202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajita Rattani","raw_affiliation_strings":["Uni. of North Texas,Dept. of Computer Science and Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uni. of North Texas,Dept. of Computer Science and Engineering,USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3932,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93178509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6319","last_page":"6326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9296000003814697,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620600461959839},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7467038035392761},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6143865585327148},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5934981107711792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5599497556686401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.505341112613678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620600461959839},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7467038035392761},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6143865585327148},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5934981107711792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5599497556686401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.505341112613678}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:soar.wichita.edu:10057/29071","is_oa":false,"landing_page_url":"https://hdl.handle.net/10057/29071","pdf_url":null,"source":{"id":"https://openalex.org/S4306401479","display_name":"Holmes Museum Of Anthropology (Wichita State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39587148","host_organization_name":"Wichita State University","host_organization_lineage":["https://openalex.org/I39587148"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"6326","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2032246760","https://openalex.org/W2089884466","https://openalex.org/W2097936772","https://openalex.org/W2158698691","https://openalex.org/W2516710120","https://openalex.org/W2574388714","https://openalex.org/W2587844882","https://openalex.org/W2600327335","https://openalex.org/W2787894218","https://openalex.org/W2790175409","https://openalex.org/W2949754992","https://openalex.org/W2954490521","https://openalex.org/W2955233680","https://openalex.org/W2979303302","https://openalex.org/W3001314219","https://openalex.org/W3010923682","https://openalex.org/W3020587741","https://openalex.org/W3048297667","https://openalex.org/W3131456784","https://openalex.org/W3133817630","https://openalex.org/W3137329082","https://openalex.org/W3159621146","https://openalex.org/W3200357512","https://openalex.org/W3206357498","https://openalex.org/W4200000762","https://openalex.org/W4221157599","https://openalex.org/W4296525407","https://openalex.org/W4312604563","https://openalex.org/W4327531339","https://openalex.org/W4381999159","https://openalex.org/W4383222050","https://openalex.org/W4386362496","https://openalex.org/W4386590723","https://openalex.org/W4387398547","https://openalex.org/W4392563834","https://openalex.org/W4400236100","https://openalex.org/W6873325818"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2989699735","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"EMG-based":[0,83],"hand":[1,12,74,84],"gesture":[2,85],"recognition":[3,86],"uses":[4],"electromyographic":[5],"(EMG)":[6],"signals":[7,69],"to":[8,51,64,70,78],"interpret":[9],"and":[10,31,49,57,66,98,107,143,180],"classify":[11,67],"movements":[13],"by":[14,19],"analyzing":[15],"electrical":[16],"activity":[17],"generated":[18],"muscle":[20,44,68],"contractions.":[21],"It":[22],"has":[23],"wide":[24],"applications":[25],"in":[26],"prosthesis":[27],"control,":[28],"rehabilitation":[29],"training,":[30],"human-computer":[32],"interaction.":[33],"Using":[34],"electrodes":[35],"placed":[36],"on":[37,113,148],"the":[38,40,80,104,114,119,124,149,155],"skin,":[39],"EMG":[41],"sensor":[42],"captures":[43],"signals,":[45],"which":[46],"are":[47],"processed":[48],"filtered":[50],"reduce":[52],"noise.":[53],"Numerous":[54],"feature":[55,89],"extraction":[56,90],"machine":[58,106],"learning":[59,109],"algorithms":[60],"have":[61],"been":[62],"proposed":[63],"extract":[65],"distinguish":[71],"between":[72],"various":[73],"gestures.This":[75],"paper":[76],"aims":[77],"benchmark":[79],"performance":[81],"of":[82,129,160,177],"using":[87,131,162],"novel":[88],"methods,":[91],"namely,":[92],"fused":[93,132],"time-domain":[94,133],"descriptors,":[95,97],"temporal-spatial":[96,163],"wavelet":[99],"transform-based":[100],"features,":[101],"combined":[102],"with":[103,126,157,171],"state-of-the-art":[105],"deep":[108],"models.":[110],"Experimental":[111],"investigations":[112],"Grabmyo":[115],"dataset":[116],"demonstrate":[117],"that":[118],"1D":[120],"Dilated":[121],"CNN":[122],"performed":[123,154],"best":[125,156],"an":[127,158],"accuracy":[128,159],"97%":[130],"descriptors":[134,164],"such":[135,174],"as":[136,175],"power":[137],"spectral":[138],"moments,":[139],"sparsity,":[140],"irregularity":[141],"factor":[142],"waveform":[144],"length":[145],"ratio.":[146],"Similarly,":[147],"FORS-EMG":[150],"dataset,":[151],"random":[152],"forest":[153],"94.95%":[161],"(which":[165],"include":[166],"time":[167],"domain":[168],"features":[169,173],"along":[170],"additional":[172],"coefficient":[176],"variation":[178],"(COV),":[179],"Teager-Kaiser":[181],"energy":[182],"operator":[183],"(TKEO)).":[184]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":12}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}